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digital representation of machine learning

14th Annual Machine Learning Symposium

Friday, March 13, 2020

The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York

Presented By

The New York Academy of Sciences

 

Machine Learning, a subfield of computer science, involves the development of mathematical algorithms that discover knowledge from specific data sets, and then "learn" from the data in an iterative fashion that allows predictions to be made. Today, Machine Learning has a wide range of applications, including natural language processing, search engine optimization, medical diagnosis and treatment, financial fraud detection, and stock market analysis.

This symposium, the fourteenth in an ongoing series presented by the Machine Learning Discussion Group at the New York Academy of Sciences, will feature Keynote Presentations from leading researchers in both applied and theoretical Machine Learning and Spotlight Talks, a series of short, early career investigator presentations across a variety of topics at the frontier of Machine Learning.

Registration

Member
By 02/07/2020
$75
After 02/07/2020
$105
Nonmember Academia, Faculty, etc.
By 02/07/2020
$150
After 02/07/2020
$210
Nonmember Corporate, Other
By 02/07/2020
$220
After 02/07/2020
$300
Nonmember Not for Profit
By 02/07/2020
$150
After 02/07/2020
$210
Nonmember Student, Undergrad, Grad, Fellow
By 02/07/2020
$80
After 02/07/2020
$115
Member Student, Post-Doc, Fellow
By 02/07/2020
$40
After 02/07/2020
$55

Keynote Speakers

Scientific Organizing Committee

Jennifer L. Costley, PhD
Jennifer L. Costley, PhD

The New York Academy of Sciences

Patrick Haffner, PhD
Patrick Haffner, PhD

Interactions Corporation

Elad Hazan, PhD
Elad Hazan, PhD

Princeton University

Tony Jebara, PhD
Tony Jebara, PhD

Columbia University

John Langford, PhD
John Langford, PhD

Microsoft Research

Mehryar Mohri, PhD
Mehryar Mohri, PhD

NYU Courant Institute

Robert Shapire, PhD
Robert Shapire, PhD

Microsoft Research